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91
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KBSE
2007
IEEE
15 years 7 months ago
Improving evolutionary class testing in the presence of non-public methods
Automating the generation of object-oriented unit tests is a challenging task. This is mainly due to the complexity and peculiarities that the principles of object-orientation imp...
Stefan Wappler, Ina Schieferdecker
GECCO
2003
Springer
132views Optimization» more  GECCO 2003»
15 years 6 months ago
Evolutionary Multimodal Optimization Revisited
Abstract. We revisit a class of multimodal function optimizations using evolutionary algorithms reformulated into a multiobjective framework where previous implementations have nee...
Rajeev Kumar, Peter Rockett
145
Voted
GECCO
2009
Springer
258views Optimization» more  GECCO 2009»
15 years 5 months ago
Evolutionary learning of local descriptor operators for object recognition
Nowadays, object recognition is widely studied under the paradigm of matching local features. This work describes a genetic programming methodology that synthesizes mathematical e...
Cynthia B. Pérez, Gustavo Olague
112
Voted
EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 4 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 1 months ago
Evolutionary swarm design of architectural idea models
In this paper we present a swarm grammar system that makes use of bio-inspired mechanisms of reproduction, communication and construction in order to build three-dimensional struc...
Sebastian von Mammen, Christian Jacob